Factual package intelligence from PyPI
AI forecasting and research tools to help humans reason about and forecast the future
pip install forecasting-tools
PyPI declares 27 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<26.0.0,>=24.1.0<4.0.0,>=3.9.3<2.0.0,>=1.1.0<0.14.0,>=0.9.1<5.0.0,>=3.0.0<2.0.0,>=1.2.2<41.0.0,>=37.0.0<1.0.0,>=0.53.0!=1.76.*,!=1.77.*,!=1.82.7,!=1.82.8,<2.0.0,>=1.59.1<2.0.0,>=1.5.8<3.0.0,>=1.26.0<3.0.0,>=1.51.0<0.20.0,>=0.2.0<4.0.0,>=2.2.3<4.0.0,>=3.1.0<13.0.0,>=9.0.0<7.0.0,>=5.24.1<3.0.0,>=2.9.2<2.0.0,>=1.0.0<2027.0.0,>=2024.11.6<3.0.0,>=2.32.3<2.0.0,>=1.5.2<2.0.0,>=1.20.0<10.0.0,>=8.0.0<0.20.0,>=0.8.0The compact report shows 25 of 27 declarations. The interactive dependency graph loads the complete metadata.
forecasting-tools publishes 1 wheel and 1 source archive for version 0.2.92. Wheel platform tags: any.
Declared Python classifiers: 3.11, 3.12, 3.13, 3.14.
PyPI lists 94 releases with files. The first dated release is ; 50 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .